eAndon
AI-basketball-analysis
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eAndon | AI-basketball-analysis | |
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1 | 12 | |
6 | 923 | |
- | - | |
0.8 | 0.0 | |
about 1 year ago | 12 months ago | |
Visual Basic .NET | Python | |
MIT License | GNU General Public License v3.0 or later |
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eAndon
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Ask HN: Show me your Half Baked project
https://github.com/vitplanocka/eAndon
I'm making an Andon signalling application that can be used to visualize production line problems in a manufacturing company.
Andon is a powerful tool in the lean manufacturing concept, because it highlights problems, raises employee awareness, and encourages responsible persons to solve them quickly.
There are many commercial packages available but they are often very expensive or inflexible. I feel that many companies would greatly benefit from having such a system but don't have it due to the costs involved.
AI-basketball-analysis
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[P] Basketball Shots Detection and Shooting Pose Analysis (Open Source)
Source code: https://github.com/chonyy/AI-basketball-analysis
- Show HN: Visualizing Basketball Trajectory and Analyzing Shooting Pose
- Automatically Overlaying Baseball Pitch Motion and Trajectory in Realtime (Open Source)
- Show HN: AI Basketball Analysis Web App and API
- Show HN: Visualize and Analyze Basketball Shots and Shooting Pose with ML
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Ask HN: Show me your Half Baked project
I built an app to visualize and analyze basketball shots and shooting pose with machine learning.
https://github.com/chonyy/AI-basketball-analysis
The result is pretty nice. However, the only problem is the slow inference speed. I'm now refactoring the project structure and changing the model to a much faster YOLO model.
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Show HN: Automatic Baseball Pitching Motion and Trajectory Overlay in Realtime
Thanks for asking! This is not a noob question.
I would say that the similar workflow could be applied to any ball-related sports. The object detection and the tracking algorithm is basically the same. Then, you could add any sport-specific feature!
For example, I have used a similar method to build AI Basketball Analysis.
https://github.com/chonyy/AI-basketball-analysis
- Show HN: AI Basketball Analysis in Realtime
- Show HN: AI Basketball Visualization
What are some alternatives?
ws-monitoring - A simple & lightweight realtime monitoring web UI + server in Node.js
Deep-SORT-YOLOv4 - People detection and optional tracking with Tensorflow backend.
opencv_py
openpifpaf - Official implementation of "OpenPifPaf: Composite Fields for Semantic Keypoint Detection and Spatio-Temporal Association" in PyTorch.
thgtoa - The Hitchhiker’s Guide to Online Anonymity
go-live - 🗂️ go-live is an ultra-light server utility that serves files, HTML or anything else, over HTTP.
morphy - A simple static site generator
veems - An open-source platform for online video.
hof - Framework that joins data models, schemas, code generation, and a task engine. Language and technology agnostic.
FastMOT - High-performance multiple object tracking based on YOLO, Deep SORT, and KLT 🚀
invisible-ink - :secret: Gradually loading web fonts
SynthDet - SynthDet - An end-to-end object detection pipeline using synthetic data